Works Published in 2018

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Displaying works 1 - 20 of 24 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2018 journal article

Discussion of ’Optimal treatment allocations in space and time for on-line control of an emerging infectious disease’

[Review of Optimal treatment allocations in space and time for on-line control of an emerging infectious disease, by E. Laber, N. Meyer, B. Reich, K. Pacifici, J. Collazo, & J. Drake]. Journal of the Royal Statistical Society, Series C, 67(4), 775–776.

By: C. Shi, R. Song & W. Lu

Source: NC State University Libraries
Added: September 27, 2020

2018 journal article

Optimal design of the seasonal influenza vaccine with manufacturing autonomy

INFORMS Journal on Computing, 30(2), 371–387.

author keywords: influenza vaccine; multistage stochastic mixed-integer programming; bilevel programming; integer programming
TL;DR: This model integrates the flu shot composition and manufacturing in a stochastic and dynamic environment and derives a branch-and-price algorithm to find the global optimal solution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: May 6, 2020

2018 journal article

On a class of bilevel linear mixed-integer programs in adversarial settings

Journal of Global Optimization, 71(1), 91–113.

By: M. Zare*, O. Özalt?n & O. Prokopyev*

Contributors: M. Zare*, O. Özaltın n & O. Prokopyev*

author keywords: Bilevel linear mixed-integer programs; Bilevel linear programs; Computational complexity; Strong-weak approach; Pessimistic bilevel programs
TL;DR: This work considers a class of bilevel linear mixed-integer programs, where the follower’s optimization problem is a linear program, and extends this new modeling approach by considering strong-weak bilevel programs, where the leader is not certain if the follower is collaborative or adversarial, and thus attempts to make a decision by taking into account both cases via a convex combination of the corresponding objective function values. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: ORCID
Added: May 6, 2020

2018 entry reference

Q-Learning

By: E. Laber n, E. Rose n, M. Davidian n & A. Tsiatis n

UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, ORCID
Added: January 19, 2020

2018 journal article

FSEM: Functional Structural Equation Models for Twin Functional Data

Journal of the American Statistical Association, 114(525), 344–357.

author keywords: Covariance function; Genetic and environmental effects; Weighted likelihood ratio test
TL;DR: A novel class of functional structural equation models (FSEMs) for dissecting functional genetic and environmental effects on twin functional data, while characterizing the varying association between functional data and covariates of interest are developed. (via Semantic Scholar)
Source: Crossref
Added: January 17, 2020

2018 journal article

Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes

Journal of the American Statistical Association, 114(527), 1404–1417.

author keywords: Hard threshold; Q-learning; Value function inference; Variable selection
TL;DR: A high-dimensional Q-learning (HQ-learning) is proposed to facilitate the inference of optimal values and parameters for optimal dynamic treatment regimes and hard thresholding is introduced in the method to eliminate the effects of the nonrespondents. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Crossref
Added: January 17, 2020

2018 journal article

Deep advantage learning for optimal dynamic treatment regime

Statistical Theory and Related Fields, 2(1), 80–88.

By: S. Liang n, W. Lu n & R. Song n

TL;DR: A deep A-learning approach to estimate optimal DTR using an inverse probability weighting method to estimate the difference between potential outcomes and results indicate that the proposed methods outperform penalised least square estimator. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: January 13, 2020

2018 journal article

Real-Time Ambulance Dispatching and Relocation

Manufacturing & Service Operations Management, 20(3), 467–480.

By: A. Nasrollahzadeh*, A. Khademi* & M. Mayorga n

author keywords: ambulance operations management; dispatching; redeployment; reallocation; approximate dynamic programming
TL;DR: The problem is formulated as a stochastic dynamic program, and, because the state space is unbounded, an approximate dynamic programming (ADP) framework is developed to generate high-quality solutions. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: December 15, 2019

2018 article

Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV, Vol. 11073, pp. 686–694.

TL;DR: A novel methodology that uses CNNs for segmentation by mimicking the human task of tracing object boundaries is presented that is more accurate than CNNs alone and orders of magnitude faster than manual segmentation. (via Semantic Scholar)
Source: Web Of Science
Added: August 12, 2019

2018 journal article

Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(8), 1636–1644.

By: E. Rutter n, C. Langdale*, J. Hokanson*, F. Hamilton n, H. Tran n, W. Grill*, K. Flores n

author keywords: LASSO; neural stimulation; bladder dysfunction; spectrogram
MeSH headings : Algorithms; Animals; Computer Simulation; Electromyography; Female; Models, Theoretical; Muscle Contraction / physiology; Pudendal Nerve; Rats; Rats, Wistar; Urethra / physiology; Urinary Bladder / physiology; Urinary Incontinence / rehabilitation
TL;DR: A novel method for prediction of bladder pressure using a time-dependent spectrogram representation of external urethral sphincter electromyographic (EUS EMG) activity and a least absolute shrinkage and selection operator regression model is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Source: Crossref
Added: July 20, 2019

2018 journal article

Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data

BIOMETRICS, 74(4), 1180–1192.

author keywords: Doubly robust; Inverse probability weighting; Optimal treatment regime; Sequential multiple assignment randomized trial; Support vector machine; Value search
MeSH headings : Acute Disease; Algorithms; Biometry / methods; Computer Simulation; Decision Support Techniques; Humans; Leukemia; Outcome Assessment, Health Care / methods; Outcome Assessment, Health Care / standards; Randomized Controlled Trials as Topic; Support Vector Machine; Survival Analysis
TL;DR: A method for estimation of an optimal regime involving two decision points when the outcome of interest is a censored survival time is proposed, based on maximizing a locally efficient, doubly robust, augmented inverse probability weighted estimator for average outcome over a class of regimes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID
Added: February 25, 2019

2018 journal article

Interpretable Dynamic Treatment Regimes

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 113(524), 1541–1549.

author keywords: Decision lists; Interpretability; Precision medicine; Research-practice gap; Treatment regimes; Tree-based methods
TL;DR: An estimator of an optimal treatment regime composed of a sequence of decision rules, each expressible as a list of “if-then” statements that can be presented as either a paragraph or as a simple flowchart that is immediately interpretable to domain experts is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: February 18, 2019

2018 journal article

A Massive Data Framework for M-Estimators with Cubic-Rate

Journal of the American Statistical Association, 113(524), 1698–1709.

By: C. Shi n, W. Lu n & R. Song n

author keywords: Cubic rate asymptotics; Divide and conquer; M-estimators; Massive data
TL;DR: Under certain condition on the growing rate of the number of subgroups, the resulting aggregated estimators are shown to have faster convergence rate and asymptotic normal distribution, which are more tractable in both computation and inference than the original M-estimators based on pooled data. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: February 18, 2019

2018 journal article

Estimating intratumoral heterogeneity from spatiotemporal data

JOURNAL OF MATHEMATICAL BIOLOGY, 77(6-7), 1999–2022.

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation
MeSH headings : Antineoplastic Agents / therapeutic use; Brain Neoplasms / drug therapy; Brain Neoplasms / pathology; Cell Movement; Cell Proliferation; Computer Simulation; Glioblastoma / drug therapy; Glioblastoma / pathology; Humans; Mathematical Concepts; Models, Biological; Neoplasm Invasiveness / pathology; Phenotype; Probability; Spatio-Temporal Analysis; Tumor Burden / drug effects
TL;DR: The predicted effect of treatment, specifically, chemotherapy, when assuming such a heterogeneous population and compare with predictions from a homogeneous cell population model are examined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: December 17, 2018

2018 journal article

Quantile-Optimal Treatment Regimes

Journal of the American Statistical Association, 113(523), 1243–1254.

author keywords: Dynamic treatment regime; Nonstandard asymptotics; Optimal treatment regime; Precision medicine; Quantile criterion
TL;DR: This article proposes an alternative formulation of the estimator as a solution of an optimization problem with an estimated nuisance parameter, and derives theory involving a nonstandard convergence rate and a nonnormal limiting distribution of the quantile-optimal treatment regime. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, Crossref
Added: October 29, 2018

2018 journal article

Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers

Omega, 79, 67–80.

By: S. Enayati*, M. Mayorga n, H. Rajagopalan* & C. Saydam*

author keywords: Dynamic redeployment; Healthcare; EMS; Workload
TL;DR: A real-time approach to maximize coverage with minimum possible total travel time, while restricting accumulated workload for EMS personnel as well as providing more evenly distributed workload between ambulances in a shift is developed. (via Semantic Scholar)
Sources: Web Of Science, Crossref, ORCID
Added: October 19, 2018

2018 journal article

Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 80(4), 681–702.

By: C. Shi n, R. Song*, W. Lu n & B. Fu n

author keywords: Heterogeneity; Maximin projection learning; Optimal treatment regime; Quadratically constrained linear programming
TL;DR: A new maximin projection learning method is proposed for estimating a single treatment decision rule that works reliably for a group of future patients from a possibly new subpopulation by solving a quadratically constrained linear programming problem, which can be efficiently computed by interior point methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: October 19, 2018

2018 article

Introduction to the Special Issue on Advancing Health Services

Maillart, L. M., & Mayorga, M. E. (2018, September). SERVICE SCIENCE, Vol. 10, pp. V-VII.

UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: October 16, 2018

2018 journal article

Optimal production in a competitive market under yield uncertainty

OPTIMIZATION LETTERS, 12(7), 1487–1502.

By: M. Jansen n & O. Ozaltin n

Contributors: M. Jansen n & O. Özaltın n

author keywords: Cournot competition; Yield uncertainty; Capacity constraint; Influenza vaccine market
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: October 16, 2018

2018 journal article

Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model

BULLETIN OF MATHEMATICAL BIOLOGY, 80(6), 1578–1595.

By: J. Lagergren n, A. Reeder n, F. Hamilton n, R. Smith n & K. Flores n

author keywords: State space reconstruction; Uncertainty quantification; Structured population model; Forecasting
MeSH headings : Animals; Bayes Theorem; Coleoptera / pathogenicity; Coleoptera / physiology; Forecasting / methods; Mathematical Concepts; Models, Biological; Multivariate Analysis; Population Dynamics / statistics & numerical data; Uncertainty
TL;DR: An analysis of the results from Bayesian inference for the mechanistic model and hybrid models is performed to suggest reasons why hybrid modeling methodology may enable more accurate forecasts of multivariate systems than traditional approaches. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

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